Matthew Montierth

7PUBLICATIONS

52CO-AUTHORS

Stochastic analysis and modellingGenomics and transcriptomicsCancer geneticsPredictive and prognostic markersHaematological tumours

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Publications (7)

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|May 18, 2026

Scalable subclonal reconstruction of cancer cells in DNA sequencing data using a penalized likelihood model.

|May 18, 2026

Tumor cell specific total mRNA expression informed neural networks predicts cancer progression.

|Dec 15, 2025

Deconvolution of Sparse-count RNA Sequencing Data for Tumor Cells Using Embedded Negative Binomial Distributions.

Matthew D Montierth, Hao Yan, Liyang Xie

|Jul 15, 2024

Subclonal mutation load predicts survival and response to immunotherapy in cancers with low to moderate tumor mutation burden.

Yujie Jiang, Matthew D Montierth, Kaixian Yu

|Aug 17, 2022

Impact of Somatic Mutations on Survival Outcomes in Patients With Anaplastic Thyroid Carcinoma.

Jennifer Rui Wang, Matthew Montierth, Li Xu

|Jun 13, 2022

Estimation of tumor cell total mRNA expression in 15 cancer types predicts disease progression.

Shaolong Cao, Jennifer R Wang, Shuangxi Ji

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Frequent Collaborators

Wenyi Wang

Peter Van Loo

Shuangxi Ji

Maxime Tarabichi

Scott Kopetz

Brian D Poole

Vera M Todd

Peng Yang

Nikolai Engedal

Julie Livingstone

Frequent Collaborators

Wenyi Wang

Peter Van Loo

Shuangxi Ji

Maxime Tarabichi